tinyllama_mole_sft_ultrachat_ep3 – AI Model by ondevicellm | AlphaNeural AI

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ondevicellm/
tinyllama_mole_sft_ultrachat_ep3

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text-generation

generated_from_trainer

autotrain_compatible

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tinyllama_mole_sft_ultrachat_ep3

This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:

Loss: 1.1127

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 128
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 120
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.3007	0.09	100	1.2780
1.2255	0.18	200	1.2158
1.192	0.26	300	1.1921
1.1696	0.35	400	1.1770
1.1426	0.44	500	1.1666
1.1628	0.53	600	1.1583
1.1501	0.61	700	1.1513
1.137	0.7	800	1.1457
1.1321	0.79	900	1.1407
1.1156	0.88	1000	1.1359
1.1395	0.96	1100	1.1318
1.0564	1.05	1200	1.1315
1.0594	1.14	1300	1.1295
1.0711	1.23	1400	1.1274
1.0624	1.31	1500	1.1256
1.0652	1.4	1600	1.1233
1.0626	1.49	1700	1.1213
1.0457	1.58	1800	1.1195
1.0665	1.66	1900	1.1178
1.07	1.75	2000	1.1158
1.0567	1.84	2100	1.1141
1.0304	1.93	2200	1.1127
1.0132	2.01	2300	1.1170
1.0203	2.1	2400	1.1170
1.0088	2.19	2500	1.1168
1.002	2.28	2600	1.1162
1.0004	2.37	2700	1.1157
1.0058	2.45	2800	1.1156
1.0118	2.54	2900	1.1150
0.9941	2.63	3000	1.1148
1.0127	2.72	3100	1.1147
1.0039	2.8	3200	1.1144
1.0	2.89	3300	1.1143
1.0188	2.98	3400	1.1143

Framework versions

Transformers 4.37.0
Pytorch 2.1.2+cu118
Datasets 2.16.1
Tokenizers 0.15.0